The purpose of this paper is to explore various limitations of conventional mining systems in extracting useful buying patterns from retail transactional databases flooded with…
Abstract
Purpose
The purpose of this paper is to explore various limitations of conventional mining systems in extracting useful buying patterns from retail transactional databases flooded with Big Data. The key objective is to assist retail business owners to better understand the purchase needs of their customers and hence to attract customers to physical retail stores away from competitor e-commerce websites.
Design/methodology/approach
This paper employs a systematic and category-based review of relevant literature to explore the challenges possessed by Big Data for retail industry followed by discussion and implementation of association between MapReduce based Apriori association mining and Hadoop-based intelligent cloud architecture.
Findings
The findings reveal that conventional mining algorithms have not evolved to support Big Data analysis as required by modern retail businesses. They require a lot of resources such as memory and computational engines. This study aims to develop MR-Apriori algorithm in the form of IRM tool to address all these issues in an efficient manner.
Research limitations/implications
The paper suggests that a lot of research is yet to be done in market basket analysis, if full potential of cloud-based Big Data framework is required to be utilized.
Originality/value
This research arms the retail business owners with innovative IRM tool to easily extract comprehensive knowledge of useful buying patterns of customers to increase profits. This study experimentally verifies the effectiveness of proposed algorithm.
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This paper aims to explore the impact of employer branding dimensions i.e. social value, interest value, economic value, development value and application value on turnover…
Abstract
Purpose
This paper aims to explore the impact of employer branding dimensions i.e. social value, interest value, economic value, development value and application value on turnover intentions (TIs) of employees working in Indian information technology (IT) sector organizations.
Design/methodology/approach
A total of 380 junior-, middle- and senior-level executives have been surveyed using a structured questionnaire to measure employees’ perception with respect to the dimensions of employer branding and TIs. Hypotheses have been tested using multiple regression analysis.
Findings
Employer branding dimensions are negatively correlated with employees’ TIs, and two dimensions (social value and development value) are significant predictors of TIs.
Practical implications
Higher perceived value in employer brand reduces the TIs. Higher employee retention rates further lead to reduction in the cost of hiring and training of new employees, thereby contributing to the profitability of any organization. Hence, practical relevance is there for handling employee turnover and theoretical importance is for further enhancing the talent management concepts.
Originality/value
Uniqueness of this study lies in its approach. The role of organizational-level factors rather than individualistic characteristics has been analyzed as predictors of the employees’ decision to leave their organization. Furthermore, the sample of progressive Indian IT sector executives adds to the originality of the work.
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Neha Yadav, Sanjeev Verma and Rekha D. Chikhalkar
This study aims to examine the moderated-mediation impact of consumer involvement and destination preference on travel intentions. Stimulus-Organism-Response (SOR) and elaboration…
Abstract
Purpose
This study aims to examine the moderated-mediation impact of consumer involvement and destination preference on travel intentions. Stimulus-Organism-Response (SOR) and elaboration likelihood model (ELM) guided the conceptual framework of this study.
Design/methodology/approach
Churchill’s (1979) guidelines instrumentalize the scientific development and validation of measurement scales for data collection. The authors used higher-order multivariate analyzes such as structural equation modeling (SEM) and the Hayes process model for evaluating the hypotheses. The study uses Bauer et al. (2006) method to assess the conditional indirect effects of Electronic word of mouth (eWOM) on travel intention through destination preference at varying levels of consumer involvement.
Findings
SOR and ELM model successfully explained the moderated-mediation effect of eWOM, consumer involvement and destination preference in influencing the travel intentions. Results broaden the applicability of SOR and ELM in tourism marketing. Results indicate that consumer involvement moderated the direct and indirect influence of eWOM on travel intention via destination preference, such that the eWOM influence in shaping travel intention is stronger for highly involved consumers.
Research limitations/implications
The present study broadens the applicability of integrated SOR and ELM models to explain the moderated-mediation network between eWOM and travel intentions. Study findings offer new avenues to tourism marketers for the magnified effect of eWOM for promoting tourism. Tourism marketers may use customer journeys to build destination preference through organic information exchange with prospective travelers. Future researchers and practitioners can build prescriptive and predictive models based on altered levels of consumer involvement.
Originality/value
Present study pioneers in examining the interactive effect of moderated mediation network of consumer involvement and destination preference in shaping the travel intention. Grounded in SOR and ELM model, the present study is a trailblazer to offer the integrated moderated-mediation model between eWOM, destination preference, consumer involvement and travel intention.
电子口碑、目的地偏好和消费者参与 – 刺激-机体-响应 (SOR) 视角
目的
本研究考察了消费者参与和目的地偏好对旅行意图的适度中介影响。刺激-有机体-响应 (SOR) 和精细化可能性模型 (ELM) 指导了本研究的概念框架。
设计/方法/方法
Churchill (1979) 指南将科学发展和数据收集测量尺度的验证工具化。我们使用高阶多元分析, 如结构方程模型 (SEM) 和 Hayes 过程模型来评估假设。该研究使用 Bauer et al. (2006) 的方法来评估 eWOM 通过不同消费者参与水平的目的地偏好对旅行意愿的条件间接影响。
发现
SOR 和 ELM 模型成功解释了 eWOM、消费者参与和目的地偏好在影响旅行意图方面的调节中介效应。结果拓宽了 SOR 和 ELM 在旅游营销中的适用性。结果表明, 消费者参与通过目的地偏好调节了 eWOM 对旅行意愿的直接和间接影响, 因此对于高度参与的消费者而言, eWOM 在塑造旅行意愿方面的影响更强。
理论/实践意义
本研究扩大了综合 SOR 和 ELM 模型的适用性, 以解释 eWOM 和旅行意图之间的调节中介网络。研究结果为旅游营销人员提供了新的途径, 以扩大电子口碑对促进旅游业的影响。旅游营销人员可以通过与潜在旅行者的有机信息交换, 利用客户旅程来建立目的地偏好。未来的研究人员和从业者可以根据消费者参与程度的变化建立规范和预测模型。
独创性/价值
目前的研究先驱在检验消费者参与和目的地偏好的调节中介网络在塑造旅行意图方面的交互作用。本研究以 SOR 和 ELM 模型为基础, 是提供 eWOM、目的地偏好、消费者参与和旅行意图之间的综合调节中介模型的开拓者。
关键词 – 目的地偏好、eWOM、旅行意图、消费者参与度、SOR 模型、ELM 模型
eWOM, preferencia de destino y participación del consumidor: una lente de estímulo-organismo-respuesta (SOR)
Resumen
Propósito
el presente estudio examina el impacto de la mediación moderada de la participación del consumidor y la preferencia de destino en las intenciones de viaje. Estímulo-Organismo-Respuesta (SOR) y Modelo de probabilidad de elaboración (ELM) guiaron el marco conceptual de este estudio.
Diseño/metodología/enfoque
las directrices de Churchill (1979) instrumentalizan el desarrollo científico y la validación de escalas de medición para la recopilación de datos. Usamos análisis multivariados de orden superior como el modelado de ecuaciones estructurales (SEM) y el modelo de proceso de Hayes para evaluar las hipótesis. El estudio utiliza el método de Bauer et al. (2006) para evaluar los efectos indirectos condicionales de eWOM sobre la intención de viaje a través de la preferencia de destino en diferentes niveles de participación del consumidor.
Hallazgos
los modelos SOR y ELM explicaron con éxito el efecto de mediación moderada de eWOM, la participación del consumidor y la preferencia de destino para influir en las intenciones de viaje. Los resultados amplían la aplicabilidad de SOR y ELM en el marketing turístico. Los resultados indican que la participación de los consumidores moderó la influencia directa e indirecta de eWOM en la intención de viaje a través de la preferencia de destino, de modo que la influencia de eWOM en la configuración de la intención de viaje es más fuerte para los consumidores altamente involucrados.
Implicaciones teóricas/practices
el presente estudio amplía la aplicabilidad de los modelos integrados de SOR y ELM para explicar la red de mediación moderada entre eWOM y las intenciones de viaje. Los resultados del estudio ofrecen nuevas vías a los comercializadores del turismo para el efecto magnificado de eWOM para promover el turismo. Los especialistas en marketing de turismo pueden utilizar el recorrido del cliente para crear preferencias de destino a través del intercambio de información orgánica con posibles viajeros. Los futuros investigadores y profesionales pueden construir modelos prescriptivos y predictivos basados en el nivel alterado de participación del consumidor.
Originalidad/valor
el presente estudio es pionero en examinar el efecto interactivo de la red de mediación moderada de la participación del consumidor y la preferencia de destino en la configuración de la intención de viaje. Basado en el modelo SOR y ELM, el presente estudio es un pionero en ofrecer el modelo integrado de mediación moderada entre eWOM, preferencia de destino, participación del consumidor e intención de viaje.
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Neha Verma and Santosh Rangnekar
The purpose of this paper is to examine applicability of the general decision-making style (GDMS) inventory in India, using a sample of managers. In addition the authors identify…
Abstract
Purpose
The purpose of this paper is to examine applicability of the general decision-making style (GDMS) inventory in India, using a sample of managers. In addition the authors identify various decision-making styles (DMS) of Indian managers and explore their association with respondents’ gender, age, education, experience level, annual income, sector, industry and organizational output.
Design/methodology/approach
The sample consisted responses of 500 Indian managers from public (13 percent) and private (87 percent) sector organizations. The data were analyzed using exploratory factor analysis, confirmatory factor analysis, correlation analysis, regression analysis, independent sample t-tests and ANOVA.
Findings
All decision-making sub scales (rational, intuitive, dependent, avoidant and spontaneous) had satisfactory reliabilities and internal consistencies. Results obtained factor structure that confirmed the original five-factor structure of GDMS. There were also mutual correlations among the styles. Moreover, there were significant differences in the DMS across respondents’ profile variables.
Research limitations/implications
This research is based upon survey method and voluntary participation. Hence one can question generalization of findings to larger samples.
Practical implications
Results provide insights into DMS of the Indian managers. Organizations may use GDMS as a selection tool, respondents may hone their DMS.
Originality/value
A majority of researchers use survey without evaluating validity of the instruments in the selected context and sample. This research contributed to the literature and practice by testing validation of the GDMS inventory in India.
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Neha Verma, Santosh N Rangnekar and Mukesh Kumar Barua
The purpose of this paper is to perform organizational team effectiveness analysis and to find out whether decision-making style (DMS) has any association with team effectiveness…
Abstract
Purpose
The purpose of this paper is to perform organizational team effectiveness analysis and to find out whether decision-making style (DMS) has any association with team effectiveness. Which style most significantly affects the team effectiveness and how this predictive association can be used to improve existing teams as well as to build new effective teams?
Design/methodology/approach
The sample includes 231 sample responses of executives from Indian Manufacturing Organizations from both public and private sectors. Two standardized questionnaires are used for data collection. Mainly, SPSS v20.0 was used for data analysis and hypotheses testing. AMOS v20.0 was used for testing the research model based on the supported hypotheses.
Findings
Rational DMS is mostly endorsed by the Indian executives. Not all DMSs but rational and avoidant styles independently and interactively are the significant predictors of team effectiveness.
Research limitations/implications
The survey method of data collection, cross-sectional research design and consideration of particular DMSs and team effectiveness frameworks are the main limitations of this study. Theoretical as well as practical implications are vested in the results.
Practical implications
The study bears significant practical implications for the respondents, practitioners, professionals and academicians in the field of team working. Management development and training activities may be directed based on the findings.
Social implications
The study suggests socially acceptable and practicable decision-making behaviors in organizations. It highlights suggestions for improving team effectiveness (TE). Hence, certain social implications are also there.
Originality/value
The edge in this research over the previous studies is that earlier scholars, who examined member traits’ impact on TE, did not considered DMS as a predictor of TE. Certain researchers appealed for diagnosing the standard variable to measure the member style. This research is, therefore, unique in its kind as it is a pioneering effort to study the DMS in relation to team effectiveness. The focus on sample of Indian manufacturing executives also bears importance. Moreover, unlike other researches, it focuses on DMS rather than the decision-making process itself.
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Neha Verma, Aruna B. Bhat, S. Rangnekar and M. K. Barua
The purpose of this paper is to study the leadership style (LS) and decision-making style (DMS) of Indian manufacturing executives, and to explore the association between the LS…
Abstract
Purpose
The purpose of this paper is to study the leadership style (LS) and decision-making style (DMS) of Indian manufacturing executives, and to explore the association between the LS and DMS.
Design/methodology/approach
For this study the sample was drawn from Indian manufacturing organisations’ executives from both public and private sectors. The respondents were lower, middle and senior levels executives involved in leadership and decision-making functions. Correlation, regression and ANOVA were used to pursue the research questions.
Findings
Indian manufacturing executives have shown highest rational and least avoidant in their DMSs. Transformational (TFM) leaders are found rational, while the transactional (TSL) leaders are observed to be rational and dependent. Laissez faire style has correlation with avoidant decision making and interactive dependent and avoidant styles.
Research limitations/implications
The study is a cross sectional research with limitations of self-serving bias and common method variance. However, this limitation has been dealt with a statistical test.
Practical implications
The study bears significant implications for Indian executives who are working on LSs and decision making. It also provides the details of decision-making behaviours of the manufacturing executives thereby suggesting the associated benefits and drawbacks of particular styles.
Originality/value
This paper contributes to leadership and decision-making literature. In the recent times, no such study in Indian manufacturing context have been reported. Moreover there are few contrasting and contributing findings in this research.
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Purpose: This chapter is based on risk management of the insurance sector with reinsurance as its linchpin. Such is the importance of the insurance sector that its risk management…
Abstract
Purpose: This chapter is based on risk management of the insurance sector with reinsurance as its linchpin. Such is the importance of the insurance sector that its risk management must be considered.
Need for the study: Risk management of various sectors is gaining much attention. The insurance sector, known to manage the risk of multiple sectors, also requires its own chance to be controlled with the same or even more intensity. Considering the importance of reinsurance coupled with the dependency of primary insurers on reinsurers and the absence of research on reinsurers, the need to conduct a comprehensive study on the topic is felt.
Methodology: It will be a conceptual chapter based on the rigorous literature on the topic integrated with the researcher’s insights to bring forth the framework of reinsurers for the readers.
Findings: It is found that insurers can themselves become the victims of the financial crisis in case they insure risks that surpass their economic boundaries. Not only this, the failure of insurance companies can have a ripple effect on the country’s economy. Therefore, insurers must possess financial resilience; to remain so, they need to have prudent management of the risk they are undertaking.
Practical implications: The study covers a relatively less researched area of reinsurance and hence has a vast scope of research in the future. The study would be helpful to stakeholders like regulators and primary insurers. It will unveil the paradigm of reinsurance and enlighten the stakeholders on how to use it effectively.
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Aruna B. Bhat, Neha Verma, S. Rangnekar and M.K. Barua
This paper aims to explore the independent and interactive leadership style and team processes on organisational learning in an Indian context.
Abstract
Purpose
This paper aims to explore the independent and interactive leadership style and team processes on organisational learning in an Indian context.
Design/methodology/approach
The methodology used is survey based. Primary data were collected from 36 Indian manufacturing sector executives and in total there were three teams (n=11, n=13 and n=12).
Findings
It was found that overall leadership style and transactional leadership had significant positive impact on organisational learning. Furthermore, team processes like cohesion and support and confrontation and problem solving were also found to be important predictors of organisational learning. The interactive effect of independent variables on dependent variable was also positive and significant.
Research limitations/implications
Discussions are performed and conclusions are drawn in the light of existing literature. The study bears implications for researchers to take on similar research in other contexts.
Practical implications
The study bears significant implications for executives working in manufacturing organisations. It is suggested that transactional leadership style should be employed to contribute towards organisational learning in such firms. Moreover, the use of team processes will also help in enhancing learning at the team and organisational levels.
Originality/value
This paper identifies two significant criterion variables to predict organisational learning. It is a pioneering effort to use team processes and leadership style together as predictors of organisational learning in Indian context.